{"id":"W4416958995","doi":"10.2139/ssrn.5854973","title":"Generalized algorithm for inferring wildfire evacuation decisions using large-scale mobile location data","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Key (lock); Personalization; Emergency evacuation; Emergency management; Limit (mathematics); Mobile device","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.006383189,0.0008961175,0.0009551929,0.0007902789,0.001264561,0.0005811491,0.001996041,0.0009073216,0.00005382868],"category_scores_gemma":[0.0004702707,0.001042773,0.0004464054,0.0008633764,0.00005116918,0.001007426,0.0009777636,0.005179349,0.0000191669],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006646233,"about_ca_system_score_gemma":0.01149808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001308335,"about_ca_topic_score_gemma":0.002098408,"domain_scores_codex":[0.9917903,0.0002778838,0.00199754,0.001188615,0.0008552659,0.003890377],"domain_scores_gemma":[0.9959066,0.0003531104,0.0008269837,0.001838195,0.0008019102,0.0002732038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004864635,0.0001708917,0.00009279387,0.0001036093,0.0008876881,9.318704e-7,0.0004719413,0.6479666,0.0001990539,0.00607431,0.00009344863,0.3438901],"study_design_scores_gemma":[0.002569837,0.0001152427,0.00004935552,0.000775123,0.0008815229,0.0001294159,0.001885434,0.9358119,0.00005259119,0.05255152,0.004320109,0.0008579862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02527251,0.01282971,0.9564061,0.000130058,0.002605012,0.001854064,0.0006415271,0.0001642416,0.0000967934],"genre_scores_gemma":[0.3845097,0.154723,0.4365541,0.0003438424,0.005799786,0.0007482438,0.01181754,0.0006824805,0.004821175],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5198519,"threshold_uncertainty_score":0.9992023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03109772272781803,"score_gpt":0.3278522745354328,"score_spread":0.2967545518076148,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}